前言:今天剛開始看到map和reduce類裏面的內容時,說實話一片迷茫,who are you?,最後實在沒辦法,上B站看別人的解說視頻,再加上本身去網上查java的包的解釋,終於把WordCount例子看懂,準備後面本身寫一遍!實話說,如今實在肝不動了,天天只有晚上有點時間來學習,代碼貼上來,睡覺!html
正文:實在不想寫太多,解釋都在代碼的註釋裏面,饒了我吧!java
貼一個講的比較好的網址:https://www.cnblogs.com/houji/p/7161468.htmlexpress
代碼以下:apache
/** * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.hadoop; import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; public class WordCount {//WordCount是類名,要用public class進行修飾,java程序由類(class)組成,一個源文件能夠包含多個類 public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{ /*** Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT> 行偏移量 輸入值 輸出key 輸出值 ***/ private final static IntWritable one = new IntWritable(1); private Text word = new Text(); public void map(Object key, Text value, Context context ) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString());//value.toString()獲取輸入值,並用StringTokenizer進行分隔(默認空格) while (itr.hasMoreTokens()) { //判斷itr是否還有字符串,返回true或false word.set(itr.nextToken()); //set方法給word賦值,nextToken()返回下一個標記 context.write(word, one);//輸出<'word',1> } } } public static class IntSumReducer extends Reducer<Text,IntWritable,Text,IntWritable> { private IntWritable result = new IntWritable(); public void reduce(Text key, Iterable<IntWritable> values, //values 裏面存儲着map輸出數據,格式爲 'word list<1,1,1,1,1>' Context context ) throws IOException, InterruptedException { int sum = 0;//自定義一個計數器 for (IntWritable val : values) { //循環list裏面的值 sum += val.get();//求和 } result.set(sum);//賦值給result context.write(key, result); } } public static void main(String[] args) throws Exception { //一、Java程序的入口,public static void main(String[] args){}是固定用法,public static void都是關鍵字。二、throws:聲明一個異常可能被拋出 /*** Create a new Job ***/ Configuration conf = new Configuration(); //實例化Configuration,讀取Hadoop配置信息 String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); //讀取Hadoop的argument填入地址信息 if (otherArgs.length < 2) {//若填入的地址小於2,報錯並輸出"Usage: wordcount <in> [<in>...] <out>" System.err.println("Usage: wordcount <in> [<in>...] <out>"); System.exit(2); } Job job = Job.getInstance(conf, "word count");//單例模式getInstance(),在主函數開始時調用,返回一個實例化對象,此對象是static的,在內存中保留着它的引用 job.setJarByClass(WordCount.class); //設置Job處理的Map(拆分)、Combiner(中間結果合併)以及Reduce(合併)的相關處理類 job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); //設置job輸出結果<key,value>的中key和value數據類型 job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); /*** 調用addInputPath()和setOutputPath()設置輸入輸出路徑置 InputFormat()方法是用來生成可供map處理的<key,value>對的 ***/ for (int i = 0; i < otherArgs.length - 1; ++i) { FileInputFormat.addInputPath(job, new Path(otherArgs[i])); } FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1])); System.exit(job.waitForCompletion(true) ? 0 : 1); //運行job } }